Despite widespread awareness that AI systems may cause harm to marginalized groups—and in spite of a growing number of principles, toolkits, and other resources for fairness and ethics in AI—new examples emerge every day of the inequitable impacts of algorithmic systems. In this talk, my research with AI practitioners to co-design resources to support them in proactively addressing fairness-related harms, as well as insights from that research about the organizational dynamics that impact responsible AI work practices will be discussed. In addition, emerging research to support the inclusion of impacted stakeholders in participating in AI design processes will be reviewed. The implications of our research for the design of tools, resources, and organizational policies to support more human-centered and responsible AI will be discussed.
Bio:
Michael Madaio is a postdoctoral researcher at Microsoft Research working with the FATE research group (Fairness, Accountability, Transparency, and Ethics in AI). He works at the intersection of human-computer interaction and AI/ML, focusing on enabling more fair and responsible AI through research with AI practitioners and stakeholders impacted by AI systems. He received his Ph.D. in Human-Computer Interaction from Carnegie Mellon University.